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. 2015 Jul 29;5:12514. doi: 10.1038/srep12514

GSTM1 polymorphism contribute to colorectal cancer in Asian populations: a prospective meta-analysis

Jing Li 1, Wen Xu 1, Fang Liu 1, Silin Huang 1, Meirong He 1,a
PMCID: PMC4649893  PMID: 26219826

Abstract

Glutathione S-transferases (GSTs) are enzymes which expressed in many tissues and play important roles in neutralization of toxic compounds, and protecting hosts against cancer. Among several GSTs, Glutathione S-transferases mu (GSTM) has been drawn attention upon the association with the genetic risk for many types of cancers. But whether the GSTM1 polymorphisms confer the susceptibility to colorectal cancer in Asians has not been well established. We searched the PubMed database with GSTM1, polymorphism and colorectal cancer, attempting to identify the eligible studies. In total, 33 case-control studies in Asian populations with 8502 colorectal cancer patients and 13699 controls were included in the current meta-analysis. The association between the polymorphism and susceptibility to colorectal cancer was evaluated by the odds ratio (OR) and 95% confidence intervals (CI). The pooled meta-analysis suggested that GSTM1 null variant was correlated to the colorectal cancer risk in Asians. There was a marginal heterogeneity among these eligible studies. Nevertheless, cumulative meta-analysis observed a trend of an obvious association between the GSTM1 null genotype and colorectal cancer risk in Asians. In summary, the meta-analysis suggested that GSTM1 null polymorphism confer the susceptibility to colorectal cancer in Asians, especially in Chinese populations.

Colorectal cancer is the second leading common cancer and a major cause of cancer-related deaths in the world-wide, which accounts for about 9.7% death rate of all cancers1,2. It has been reported that about 1.2 million new cases of colorectal cancer in the world in 20082. Although the incidence rate of colorectal cancer decreases in the western developed countries3,4, the rate still rises in the developing countries, especially in China. The etiology and development of colorectal cancer was not fully understood yet, but considering the previous studies, the colorectal cancer was proven to be complicated and multifactorial cancer5,6. Previous evidence suggested that the environmental risk factors and genetic factors both affected the pathogenesis of colorectal cancer7. It was reported that familial colorectal cancer accounts for around 5–15%8. Fearon ER and his colleagues6 found that many mutants/variants contribute to the pathogenesis of the sporadic and inherited forms colorectal cancer, including several GSTs variants.

GSTs are a super-family of phase II detoxification enzymes which play critical roles in the detoxification of exogenous and endogenous reactive species through conversion of toxic compounds to hydrophilic metabolites9,10. To date, there are 8 classes of GSTs including alpha (α), kappa (κ), mu (μ), omega (ω), pi (π), sigma (σ), theta (θ) and zeta (ζ) have been clarified11, and polymorphisms have been identified among several of them12. Glutathione S-transferase M1 (GSTM1) encodes the mu class of GSTs, which plays vital roles in protecting hosts against cancers13. The mu GST enzymes were demonstrated to be more effective at the process of detoxifying cytotoxic and genotoxic reactive species than other GSTs13. The null variant (GSTM1*0 allele) is the most common variant of the GSTM1, leading to the loss of enzyme activity, and the variant-carriers were proven to be associated with increased risk to cancers9. GSTM1 has been identified to be involved in the pathogenesis and development of certain cancers, inclusive of colorectal cancer14.

Many association studies and evidence were conducted and highlighted the GSTM1 null variant was correlated with the risk of cancers15,16. Moreover, the GSTM1 null genotype has been demonstrated to be linked to early onset for colorectal cancer17. However, the previous studies which aimed to investigate the association of GSTM1 polymorphism and the colorectal cancer susceptibility in Chinese populations were controversial, and so were the genetic results in Asians. Inclusive of 33 case-control studies, the present meta-analysis was performed to further explore the relationship between GSTM1 null variant and the susceptibility to colorectal cancer more comprehensively in Asians.

Methods

Literature search and inclusion criteria

We systematically searched the PubMed database (http://www.ncbi.nlm.nih.gov/pubmed/) to identify the eligible case-control studies using the following keywords: (“glutathione S-transferase” or “GST” or “glutathione S-transferase M1” or “GSTM1”), (“polymorphism” or “Single Nucleotide Polymorphism”) and (“colorectal cancer” or “CRC” or “colorectal carcinoma” or “colorectal adenoma”). There was no language limitation in the literature search. Titles and abstracts of these searching studies were primarily screened and full papers were further retrieved to confirm eligibility, the reference lists were also examined to find other relevant studies. These studies were reported from 1996 to 2014. These given studies included into our meta-analysis had to meet the following inclusion criteria: (1) case-control validation study, (2) the studies should estimate the association of the GSTM1 null variant with risk to colorectal cancer, (3) the studies should provide odds ratio (OR) with 95% CI or available data, (4) the studies should be conducted in Asian populations. Reviews and duplicate studies were excluded from the analysis. If the same case-control study were overlapped in multiple publications, only the most complete or most recent literature was included in the present study.

Data extraction

The available data originated in the eligible studies was independently extracted by two co-authors. The following information was collected: first author’s name, year of publication, country of the study conducted, ethnicity of participants, numbers of cases and controls and the genotype distributions of GSTM1 null variant. All subjects followed the principles of the Declaration of Helsinki.

Statistical analysis

The association between GSTM1 null genotype with colorectal cancer risk in Asians was calculated by pooled OR with 95% CI. The ORs were evaluated according to the extracted data. A 95% CI was used for standard for statistical significance and 95% CI without 1 for OR indicated that the genotype may increase or decrease the cancer genetic risk significantly. Firstly, the I2 statistic was estimated to quantify the heterogeneity among all eligible studies18, and an I2 < 50% suggested low heterogeneity. In general, the meta-analysis was performed using fixed-effect19 or random-effect20 models according to the effect estimates in the presence (I2 ≤ 50%) or absence (I2 > 50%) of significant heterogeneity. So, the random-effect model should be chosen once the obvious heterogeneity was observed. Interesting, the heterogeneity was also considered to be significant when P < 0.1018,21,22. But it was widely accepted that the cutoff for significance of heterogeneity is P < 0.05 in the meta-analysis23. Furthermore, Sensitivity analysis was conducted by omitting those studies in turns to estimate the overall pooled ORs in the present study. Additionally, the Begg’s funnel plot and the Egger’s regression plot were considered to be preferred method to assess the publication bias24,25. An asymmetric funnel plot suggested a relationship between effect and study size, indicating the possibility of either publication bias or a systematic difference between smaller and larger studies26,27. We further performed a cumulative meta-analysis to investigate a framework for updating a case-control-effect from all eligible studies and to assess how much the genetic effect changes as statistical power accumulates, and to find the trend in risk effect28. In the cumulative meta-analysis, studies were ordered by publication year, and the pooled ORs were calculated at the end of each study. All statistical analyses were assessed by using STATA software, version 12.0 (StataCorp LP, College Station, TX, USA). All P values were two-sided.

Results

Characteristics of the case-control studies

The flow chart of eligible studies was shown in Fig. 1. Firstly, 89 potential studies were screened after literature search followed with the search strategy, but only 33 eligible studies remained according to the inclusion criteria. All these association studies were published from 1996 to 2014, and 19 studies were in English, and the other 14 studies were published in Chinese, which shown in the Table 1. In total, there are 22201 subjects, comprising of 8502 colorectal cancer patients and 13699 matched controls were included in the current study from these 33 studies. The characteristics of those eligible studies in Asians were shown in Table 1.

Figure 1. Flow chart of eligible studies.

Figure 1

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Table 1. Detailed information of the eligible studies included in the meta-analysis.

Reference Population Ethnicity No of cases case/GSTM1
   control/GSTM1
null present No of controls null present
Cong 201433 Chinese men Asian 264 142 122 317 135 182
Vogtmann 201434 Chinese men Asian 335 201 134 638 379 259
Hamachi 201335 Japan men Asian 455 255 200 1052 546 506
Huang X 201236 Chinese Asian 100 42 58 130 59 71
Koh 201137 Chinese Asian 480 234 246 1167 526 641
Wang 201138 India Asian 302 100 202 291 76 215
Nisa 201039 Japan Asian 685 357 328 778 422 356
Yang 201040 Chinese Asian 322 189 133 1247 729 518
Yeh 201041 Taiwan Asian 722 401 321 733 410 323
Piao 200942 Korean Asian 1829 1004 825 1699 923 776
Lin LM 200843 Chinese Asian 120 69 51 204 90 114
Huang LR 200744 Chinese Asian 57 40 17 68 35 33
Xia XP 200745 Chinese Asian 112 67 45 140 63 77
Yoshida 200746 Japan Asian 66 36 30 121 62 59
Fan CH 200647 Chinese Asian 138 80 58 339 188 151
Fu QH 200648 Chinese Asian 315 229 86 438 321 117
Luo JG 200649 Chinese Asian 56 20 36 143 48 95
Probst-Hensch 200650 Chinese Asian 300 132 168 1168 525 643
Chen K 200451 Chinese Asian 126 69 56 343 188 151
Huang P 200352 Chinese Asian 82 46 36 82 28 54
Yang J 200353 Chinese Asian 58 40 18 65 29 35
Seow 200254 Chinese Asian 213 108 105 1190 537 653
Wu 200255 Taiwan Asian 356 173 183 278 136 142
Zhu YQ 200256 Chinese Asian 104 59 45 101 47 54
Saadat 200157 Iran Asian 46 25 21 131 53 78
Zhang YC 200158 Chinese Asian 52 22 30 52 25 27
Inoue 200059 Japan Asian 205 108 97 220 123 97
Zhou JN 200060 Chinese Asian 55 34 21 62 33 29
Yoshioka 199961 Japan Asian 106 56 50 100 42 58
Gao JR 199862 Chinese Asian 19 7 12 70 25 45
Lee 199863 Singapore Asian 300 128 172 183 89 94
Guo 199664 Chinese Asian 19 7 12 23 6 17
Katoh 199665 Japan Asian 103 56 47 126 55 71
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Overall analysis

There was a marginal heterogeneity among these 33 validation studies in Asian cohorts (P = 0. 01, I2 = 40.4%) (Fig. 2). Overall, the pooled meta-analysis of eligible case-control studies suggested that GSTM1 null genotype was significantly associated with the risk to colorectal cancer in Asian populations (Z = 3.32, P = 0.001, OR = 1.05, 95% CI: 1.02–1.07) in a fixed-effect model (Fig. 2a). The association still remained (Z = 3.17, P = 0.002, OR = 1.07, 95% CI: 1.02–1.11) (Fig. 2b) under the random-effect model. Sensitivity analyses by omitting one study at a time did not materially alter the overall pooled ORs (supplementary Figure S1).

Figure 2.

Figure 2

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Forest plot for the association between GSTM1 null polymorphism and colorectal cancer in Asians under fixed-effect model (a) and random-effect model (b).

The cumulative meta-analysis further showed a trend of an obvious association between the GSTM1 null genotype and colorectal cancer risk in Asians as information accumulated by year (Fig. 3a), moreover, the cumulative analysis accumulated by the sample size also supported the result (Fig. 3b).

Figure 3.

Figure 3

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Forest plot in the cumulative meta-analysis accumulated by publication year (a) and sample size (b).

Publication bias

The funnel plot, Begg’s adjust rank correlation test, Egger’s regression test, trim and fill method are four corresponding methods applied to assess the publication bias in the current meta-analysis. Funnel plot, Begg’s funnel plot, Egger’s regression, plot trim and fill funnel plot were produced by these four methods respectively (Fig. 4a–d). There was no obvious asymmetry the shape of the funnel plot and the Begg’s funnel plot (Fig. 4a). However, publication bias was marginal when the Begg’s rank correlation method (z = 2.34, P = 0.019 < 0.05) was used, the publication bias was more significant in the Egger’s regression test (t = 3.51, P = 0.001 < 0.05) (supplementary Figure S3). Nine missing studies should be filled in the trim and fill method, furthermore, LogRR and its 95%CI altered significantly after the application of trim and fill method (supplementary Figure S4). The combined analyses indicated that there is publication bias in the present study.

Figure 4.

Figure 4

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Publication bias test for the meta-analysis: Funnel plot (a), Begg’s funnel plot (b), Egger’s test (c) and Trim and fill test (d).

Sub-group analysis

There were 21 studies of Chinese, 6 in Japanese, 2 of Taiwan subjects, each single study in Korean, Singapore, India and Iran in the meta-analysis. Sub-analysis based on the different countries was conducted to verify the heterogeneity, it seemed that there may exist a marginal heterogeneity in Chinese populations (P = 0. 023, I2 = 42%)

Discussion

The etiology of colorectal cancer has not been well established, and previous evidence suggested that the pathogenesis of colorectal cancer was intricate and influenced by complicated interactions between genetic factors and environmental risk. Previous studies reported that the GSTM1 null genotype was in high prevalence in human population, about 40–60% in Europeans29 and about 50% in Asians30. It has been widely accepted that some susceptible genes correlated to colorectal cancer risk, besides smoking, diet and other environmental factors. Up to date, xenobiotic-metabolizing enzymes were primarily concerned on the pathogenesis of cancers31.

GSTM1 is one of the most main subtypes GSTs, which are more effective on protecting host from cancer than others13. GSTM1 null genotype is the most common polymorphism and has been proven to be associated with risk of several cancers15,16, including colorectal cancer17. There were many association studies on relationship between GSTM1 null polymorphism and colorectal cancer in various ethnicities32. Previous validation evidence and meta-analysis studies supported that the GSTM1 null genotype was significantly related to increased risk to colorectal cancer in Caucasian populations32, but the association in Asians has not been revealed yet. Large amount of validation studies have been conducted to detect the association in Asians, but produced inconsistent results. Therefore, we preformed the current meta-analysis to further explore whether the GSTM1 null polymorphism associated with the susceptibility to colorectal cancer.

In our meta-analysis, 33 eligible studies with 8502 colorectal cancer patients and 13699 healthy controls were pooled to calculate the association between GSTM1 polymorphism and colorectal cancer. Significant association between GSTM1 null variant and colorectal cancer in Asian populations was observed in the pooled meta-analysis under both fixed-effect model and random-effect model (Fig. 2a,b). Even though publication bias analyses suggested that obvious bias may exist in the included studies (Fig. 4a–d). The sensitivity analysis indicated the results of meta-analysis were credible and stable (supplementary Figure S1). Furthermore, the cumulative meta-analysis accumulated by publication year or the sample size further confirmed the obvious association of the GSTM1 null variant colorectal cancer in Asians (Fig. 3a,b). In summary, the meta-analysis verified that the GSTM1 null variant was linked to the genetic risk of colorectal cancer in Asians, which in accordance with the previous meta-analysis study26.

Compared to the previous meta-analyses, more validation studies were pooled in the present meta-analysis. The pooled meta-analysis, the cumulative meta-analyses by publication year and the sample size, and the sensitivity analysis correspondingly supported the GSTM1 null polymorphism contribute the genetic risk to colorectal cancer in Asians, especially in Chinese. Nevertheless, it should be noted that there are several limitations in the meta-analysis. First, the association between GSTM1 null variant and colorectal cancer was the only aspect we focused on in this meta-analysis, but the other potential susceptible factors, such as age, sex and smoking status were not considered in the current study, because great majority of these eligible studies did not provide the available information or data. Second, there exist a marginal heterogeneity in Asians (P = 0. 01, I2 = 40.4%). Third, evident bias also exists accordingly to the publication bias analyses. More case-control studies should be added to conduct the meta-analysis, then to further detect the potential gene-gene and gene-environment association.

In summary, the meta-analyses implied that the GSTM1 null variant was significantly associated with the susceptibility to colorectal cancer in Asians, which supporting the genetic factors play vital roles in the pathogenesis of colorectal cancer. Further validation studies should be included to solidify the current conclusions.

Additional Information

How to cite this article: Li, J. et al. GSTM1 polymorphism contribute to colorectal cancer in Asian populations: a prospective meta-analysis. Sci. Rep. 5, 12514; doi: 10.1038/srep12514 (2015).

Supplementary Material

Supplementary Information
srep12514-s1.pdf (344.3KB, pdf)

Acknowledgments

We thank all authors of these eligible association studies. This study was supported by two projects: (1) Guangzhou scientific and technological project (No. 2012J4300091).(2) Guangzhou project of clinical and translational research center (early gastrointestinal cancers, No. 7415696196402).

Footnotes

Author Contributions Li Jing gathered and selected the eligible studies, then performed the meta-analysis, and prepared the manuscript. Xu Wen, Fang Liu and Huang Silin participated in the data collecting and selecting process. He Meirong conceived of the study, and participated in its design and coordination and helped to draft the manuscript. All authors reviewed and approved the final manuscript.

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